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Developing competency - based accreditation for health promotion in Europe

2014· article· en· W2017264753 on OpenAlexaboutno aff
Barbara Battel-Kirk, Margaret M. Barry

Bibliographic record

VenueRevista de Medicina · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicGlobal Public Health Policies and Epidemiology
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesAccreditationChemistryPhilosophy

Abstract

fetched live from OpenAlex

Background: In April 2013, the inaugural meeting of the Board and Committees of the IUHPE European Health Promotion Accreditation System was held in Paris. The meeting heralded the implementation of an innovative competency-based accreditation system for health promotion in Europe. The System aims to promote quality assurance and competence in health promotion through a Europe-wide accreditation system which is designed to be flexible and sensitive to different contexts while maintaining robust and validated criteria. The System builds on the international literature on competency-based approaches to health promotion and on global capacity development initiatives such as the Galway Consensus Conference Statement 'Toward Domains of Core Competency for Building Global Capacity in Health Promotion' 1 . The System is designed to provide validated mechanisms for assuring quality in health promotion practice, education and training and a foundation for capacity development in Europe based on shared concepts and a formalised system of professional recognition.The competencies and professional standards that underpin the System are premised on the core concepts and principles of health promotion as defined in the Ottawa Charter for Health Promotion 2 and successive World Health Organisation charters and declarations [3][4][5][6][7][8] . The System is currently undergoing intensive piloting and will be fully operational in 2014. Methods: The System builds on a competencybased accreditation framework developed as part of the CompHP Project. The CompHP Project development processes employed a phased, multiple-method approach to facilitate consensus-building

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.809
Threshold uncertainty score0.454

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.057
GPT teacher head0.351
Teacher spread0.294 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations15
Published2014
Admission routes1
Has abstractyes

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